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Programming:Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Deep Learning: Understanding neural networks, backpropagation, architectures like CNNs, RNNs, transformers, and tools like TensorFlow, PyTorch, or Keras.
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Key skills required include extensive knowledge of machine learning algorithms, deep learning, statistical modeling, and proficiency in programming languages like Python, R, TensorFlow, and PyTorch.
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These are difficult hands-on engineering challenges that integrate biophysics, image processing, deep learning, novel electronics, ultrasound, and real-time signal processing that can only be solved with a tight-knit multidisciplinary team.
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3+ years in a hands-on role performing advanced predictive analytics using tools like Python, R, or Scala. Experience with applied machine learning (tree-based methods, ensemble methods, neural networks/deep learning.
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Basic knowledge and experience in statistical and data mining techniques such as: generalized linear model (GLM)/regression, random forest, boosting, trees, text mining, hierarchical clustering, deep learning, convolutional neural network (CNN), recurrent neural network (RNN), T-distributed Stochastic Neighbor Embedding (t-SNE), graph analysis, etc.
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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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Develop new or utilize existing technology to build dynamic web applications or software tools for bioinformatics applications using R, Shiny and/or Python. Use analytic methods and advanced knowledge in machine learning, statistics, text mining, natural language processing, computational semantics, computer vision, and data science to develop creative solutions to complex real-world problems.
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Databases; and programming in one or more of the following: Python, R, Spark, Matlab, Stata, C, Perl, or Java; AND. databases; and programming in Python with experience in one of the following: R, Spark, Matlab, Stata, C, Perl, or Java; AND.
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High degree of experience utilizing SAS, R, or Python to support NLP use cases such as Document Summarization, Named Entity Recognition, Sentiment Analysis, and/or Topic Modeling. Examples will include techniques such as machine learning (ML) supervised and unsupervised learning, regression, neural networks and deep learning, natural language processing, etc.
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Advanced skills in statistical analysis using Stata, SPSS, R, SAS, or SQL for the purpose of Advanced skills in using data visualization platforms such as advanced Excel visualizations, Tableau, PowerBI, Metabase, Google Data Studio, etc.
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Proficiency with query languages such as Python, R, SQL, or SAS, mechanics, implementation, and impact modeling- Preferred. Partner with Evolent Care Partners (ECP’s) Growth team to evaluate new payors and providers; Support negotiation of value-based contracts with payors, providers, and vendorsLead quarterly compliance testing and accounting recommendations for dedicated Value Based Care (VBC) contracts.
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This role will have opportunity to work across Amgens pipeline (early and late) to oversee the development of data review visualization tool, statistical/machine learning algorithms, and analytic pipeline/package/application in R. It provides opportunity to develop leadership skills in clinical development strategy and address scientific questions through practical quantitative thinking.
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Sustained (e.g., at least 10 years), hands-on experience with: data modeling and data engineering, feature engineering, model lifecycle management, and cloud infrastructure; supervised and unsupervised deep learning algorithms.
$122,200 - $220,900 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in data access tools, such as SAS, SQL, Python, and R. Accredited Healthcare Fraud Investigator ( AHFI ) , Health Care Anti-Fraud Asso cia te ( HCAFA ) , Certified Insurance Fraud Investigator ( CIFI ) , Certified Finan cia l Crimes Investigator ( CFCI ) , Certified Fraud Examiner ( CFE ) , Certified in Healthcare Compliance ( CHC ) , CPC, CEMA, or CPMA certifications.
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Experience working in data analysis, modeling, and visualization packages in TensorFlow, Keras, PyTorch, Caffe, and Theano; and developing or integrating analytics in programming languages such as Python.
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python r deep learning jobs Company: Square Peg Technologies in Bethesda, MD
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